360 pages | 8 Color Illus.
This book is intended to provide a bottom-up and fundamental understanding of the use of probabilistic methods and reliability analysis techniques in engineering applications. Divided into two parts, the book covers fundamental topics about uncertainty quantification in engineering and particular engineering research applications, providing a comprehensive look at Bayesian damage assessment and prognostics in engineering.
Part I: Theory and Fundamentals. Understanding uncertainty in engineering. Uncertainty quantification and propagation. The Bayesian inverse problem in engineering. Bayesian filtering and prognostics. Surrogate modelling. Part II: Applications. Structural health management. Prognostics of remaining life of batteries. Reliability of power plants. Infrastructure asset management. Wind turbines. Rovers and UAVs. Structural dynamics applications.